Data Publication of BRIWECS Consortium

1 Overview

library(ggplot2)
library(webr)
library(dplyr)

first.ring <- c("Genotype","Locations","Year","Management") 
second.ring <- list(c("228 cultivars","year of release\n1960-2016","SNIP"),
c("6 locations","soil map","experimental deisgn"),
c("precipitation","iradiance","temperature"),
c("plant protection","irrigation","fertilization"))
repid <- purrr::map_dbl(second.ring,~{
length(.x)
})
pheno <- purrr::map2(first.ring,repid,~{
rep(.x,each=.y)
}) %>% unlist()


td <- data.frame(phenotype=pheno,factor1=second.ring %>% unlist()) %>% 
group_by(phenotype) %>% 
mutate(n=n()) %>% ungroup()

PieDonut(td, aes(phenotype, factor1, count=n),
explode = c(1,2,3,4),r0 = .5,
addDonutLabel = TRUE,
# family = "Arial",
showRatioDonut = F, labelposition = 0.2,
showRatioPie = F)

2 Agronomic traits

2.1 Seedyield

Figure 1: Seedyield-distribution

Figure 2: Seedyield-correlation

2.2 Seedyield_bio

Figure 3: Seedyield_bio-distribution

Figure 4: Seedyield_bio-correlation

Warning in sprintf("#| fig-cap: yield vs yield bio-correlation", tr): one
argument not used by format '#| fig-cap: yield vs yield bio-correlation'

Figure 5: yield vs yield bio-correlation

2.3 Biomass_bio

Figure 6: Biomass_bio-distribution

Figure 7: Biomass_bio-correlation

2.4 Harvest_Index_bio

Figure 8: Harvest_Index_bio-distribution

Figure 9: Harvest_Index_bio-correlation

2.5 TGW

Figure 10: TGW-distribution

Figure 11: TGW-correlation

2.6 TGW_bio

Figure 12: TGW_bio-distribution

Figure 13: TGW_bio-correlation

2.7 Spike_number_bio

Figure 14: Spike_number_bio-distribution

Figure 15: Spike_number_bio-correlation

2.8 Plantheight_bio

Figure 16: Plantheight_bio-distribution

Figure 17: Plantheight_bio-correlation

3 yield quality

3.1 Sedimentation

Figure 18: Sedimentation-distribution

Figure 19: Sedimentation-correlation

3.2 Falling_number

Figure 20: Falling_number-distribution

Figure 21: Falling_number-correlation

3.3 Crude_protein

Figure 22: Crude_protein-distribution

Figure 23: Crude_protein-correlation

3.4 Protein_yield

Figure 24: Protein_yield-distribution

Figure 25: Protein_yield-correlation

4 Phenology

4.1 Emergence_date

Figure 26: Emergence_date-distribution

4.2 BBCH59

Figure 27: BBCH59-distribution

Figure 28: BBCH59-correlation

4.3 BBCH87

Figure 29: BBCH87-distribution

Figure 30: BBCH87-correlation

5 Pathogens

5.1 Stripe_rust

Figure 31: Stripe_rust-distribution

5.2 Powdery_mildew

Figure 32: Powdery_mildew-distribution

5.3 Leaf_rust

Figure 33: Leaf_rust-distribution

5.4 Septoria

Figure 34: Septoria-distribution

5.5 DTR

Figure 35: DTR-distribution

5.6 Fusarium

Figure 36: Fusarium-distribution

6 Management

### `Sowing_date` 

::: {.cell}
::: {.cell-output-display}
![Sowing_date-distribution](data_overview_files/figure-html/fig-Sowing_date-dp-1.png){#fig-Sowing_date-dp width=672}
:::
:::

7 Weather

Figure 37

Figure 38

8 Principal Component Analyses to detect problematic data sets